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Efficient execution of Time Warp programs on heterogeneous, NOW platforms

机译:在异构NOW平台上高效执行Time Warp程序

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Time Warp is an optimistic protocol for synchronizing parallel discrete event simulations. To achieve performance in a multiuser network of workstation (NOW) environment, Time Warp must continue to operate efficiently in the presence of external workloads caused by other users, processor heterogeneity, and irregular internal workloads caused by the simulation model. However, these performance problems can cause a Time Warp program to become grossly unbalanced, resulting in slower execution. The key observation asserted in this article is that each of these performance problems, while different in source, has a similar manifestation. For a Time Warp program to be balanced, the amount of wall clock time necessary to advance an LP one unit of simulation time should be about the same for all LPs. Using this observation, we devise a single algorithm that mitigates these performance problems and enables the "background" execution of Time Warp programs on heterogeneous distributed computing platforms in the presence of external as well as irregular internal workloads.
机译:时间扭曲是用于同步并行离散事件模拟的乐观协议。为了在工作站(NOW)环境的多用户网络中实现性能,Time Warp必须在存在其他用户造成的外部工作负载,处理器异构性以及模拟模型导致的内部不规则工作负载的情况下继续有效地运行。但是,这些性能问题可能导致Time Warp程序严重失衡,从而导致执行速度变慢。本文断言的主要观察结果是,尽管这些性能问题的来源不同,但它们都有相似的表现形式。为了使时间扭曲程序平衡,对于所有LP,将LP推进一个模拟时间单位所需的墙上时钟时间量应大致相同。使用此观察,我们设计了一种单一算法,可以减轻这些性能问题,并在存在外部以及不规则内部工作负载的情况下,在异构分布式计算平台上实现“时间扭曲”程序的“后台”执行。

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